Usage – External Tools

This page will give an overview over some of the external tools we use in our simulation framework, and how to use them.

• TensorBoard
• Docker

TensorBoard

Find relevant documentation for the TensorBoard tool here.

The TensorBoard is an external tool from the RL library TensorFlow. In our framework, we use it to visualize various metrics collected during training and monitoring sessions, such as total profits achieved by the different vendors or prices set for the various price channels.

During the simulation, the TensorBoard will automatically record these metrics and save them in the results/runs folder of the user's datapath (link). At any point during or after the simulation, the TensorBoard can be started using the following command:

tensorboard serve --logdir path/to/results/runs

The path specified can be changed to just include one subfolder of the runs folder to track just one of the experiments.

Note: TensorBoard might not work with Safari, but Chrome does the job.

Docker